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3IA Côte d'Azur - Interdisciplinary Institute for Artificial Intelligence
3IA Côte d'Azur est l'un des quatre "Instituts interdisciplinaires d'intelligence artificielle" créés en France en 2019. Son ambition est de créer un écosystème innovant et influent au niveau local, national et international. L'institut 3IA Côte d'Azur est piloté par Université Côte d'Azur en partenariat avec les grands partenaires de l'enseignement supérieur et de la recherche de la région niçoise et de Sophia Antipolis : CNRS, Inria, INSERM, EURECOM, SKEMA Business School. L'institut 3IA Côte d'Azur est également soutenu par l'ECA, le CHU de Nice, le CSTB, le CNES, l'Institut Data ScienceTech et l'INRAE. Le projet a également obtenu le soutien de plus de 62 entreprises et start-ups.
Derniers dépôts
Documents en texte intégral
649
Notices
301
Statistiques par discipline
Mots clés
Hyperbolic systems of conservation laws
Artificial intelligence
Atrial Fibrillation
Biomarkers
Cable-driven parallel robot
Diffusion MRI
Event cameras
Deep Learning
Diffusion strategy
Contrastive learning
Semantic segmentation
Data augmentation
Dimensionality reduction
Neural networks
53B20
Excursion sets
Machine learning
Computer vision
Multi-Agent Systems
Hyperspectral data
FPGA
Electronic medical record
Knowledge graph
Dense labeling
Distributed optimization
CNN
Differential privacy
Computing methodologies
COVID-19
Electrocardiogram
Clinical trials
Multiple Sclerosis
Arguments
Deep learning
Co-clustering
Graph neural networks
Extreme value theory
Anomaly detection
Convolutional neural networks
Image fusion
Semantic Web
Optimization
Unsupervised learning
OPAL-Meso
RDF
Convergence analysis
Physics-based learning
Atrial fibrillation
Ontology Learning
Persistent homology
Information Extraction
Explainable AI
Computational Topology
Apprentissage profond
Fibronectin
Convolutional neural network
Echocardiography
Web of Things
Federated Learning
Privacy
Grammatical Evolution
Healthcare
Argument Mining
Extracellular matrix
Topological Data Analysis
Fluorescence microscopy
Visualization
Linked Data
NLP Natural Language Processing
Segmentation
Knowledge graphs
Alzheimer's disease
Isomanifolds
Clustering
Brain-inspired computing
Latent block model
Spiking Neural Networks
Super-resolution
Autoencoder
SPARQL
Spiking neural networks
MRI
Linked data
Macroscopic traffic flow models
Domain adaptation
Coxeter triangulation
Simulations
Embedded Systems
Consensus
Artificial Intelligence
Uncertainty
Semantic web
Convolutional Neural Networks
Electrophysiology
Federated learning
Sparsity
Medical imaging
Image segmentation
Predictive model
Autonomous vehicles